ArticleJournal of intelligent information systems2014
Mining the Home Environment.
Article in Journal of intelligent information systems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Activity Recognition from Daily-Life Sounds Using Unsupervised Learning with Dirichlet Multinomial Mixture Models.Sensors (Basel, Switzerland) · 2026Article
- Synergy of Information in Multimodal Internet of Things Systems-Discovering the Impact of Daily Behaviour Routines on Physical Activity Level.Sensors (Basel, Switzerland) · 2025Article
- Design and Evaluation of a Solo-Resident Smart Home Testbed for Mobility Pattern Monitoring and Behavioural Assessment.Sensors (Basel, Switzerland) · 2020Article
- A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study.Journal of medical Internet research · 2020Article
- Discovering Human Activities from Binary Data in Smart Homes.Sensors (Basel, Switzerland) · 2020Article
- Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia.PloS one · 2019Article
- Pervasive Computing Technologies to Continuously Assess Alzheimer's Disease Progression and Intervention Efficacy.Frontiers in aging neuroscience · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Individuals spend a majority of their time in their home or workplace and for many, these places are our sanctuaries. As society and technology advance there is a growing interest in improving the intelligence of the environments in which we live and work. By filling home environments with sensors and collecting data during daily routines, researchers can gain insights on human daily behavior and the impact of behavior on the residents and their environments. In this article we provide an overview of the data mining opportunities and challenges that smart environments provide for researchers and offer some suggestions for future work in this area.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.